Hybrid AI Transformation Analyst

Banco Santander SA

Madrid

Híbrido

EUR 40.000 - 65.000

Jornada completa

14 días+

Generador de candidaturas

Una candidatura hecha para este puesto de trabajo: un currículum y una carta de presentación adaptados que responden directamente a la oferta.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Meal subsidy

Shuttle service in Madrid

Healthcare benefits

BeHealthy wellness program

Descripción de la vacante

Banco Santander S.A. in Madrid seeks an AI Transformation Analyst to support the WM&I transformation using cutting-edge AI tools. You will design prompts, document use cases, prepare enablement materials and track adoption and impact across business teams.

Responsibilities include coordinating with Data & AI, Technology, Risk and compliance during pilots, developing training materials, user guides and playbooks, and contributing to prompt libraries and best practices for AI adoption across WM&I.

Formación

Bachelor's degree in Engineering, Data Science, CS or related field.
0–3 years of experience in transformation, consulting, data, technology, operations, product, innovation or financial services.
Experience preparing presentations, documentation, analysis or training materials for business stakeholders.
Practical exposure to generative AI tools, productivity copilots, analytics tools or automation solutions.

Responsabilidades

Support AI discovery and adoption across WM&I domains, including workshops, interviews, process mapping and use-case documentation.
Design, test and refine prompts and practical AI usage examples for business teams, ensuring outputs are clear, reliable and aligned with applicable guidance.
Document AI use cases, user journeys, process changes, adoption learnings, expected benefits and relevant control considerations.
Prepare training materials, user guides, playbooks, FAQs and communications that enable business teams to use AI effectively.
Track adoption, usage and qualitative user feedback to identify barriers, improvement opportunities and success stories.
Support coordination with Data & AI, Technology, Risk, Compliance and business stakeholders during pilots and adoption activities.
Contribute to prompt libraries, reusable assets, communities of practice, reporting packs, research and benchmarking on emerging AI capabilities relevant to WM&I.